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Multiplying lists of matrices without loops

Hi everyone and thank you for your assistance. I am new to python and failed to find an efficient alternative to for loops for the following task.

I want to multiply ndarrays A and B of dimension (d,n,m) and (d,m), respectively. With some abuse of terminology to help understanding, A is a list of nxm matrices and B is a list of vectors in R^m.

For example:

A = np.array([[[0,0,0,0,0],[1,1,1,1,1],[2,2,2,2,2]],[[3,3,3,3,3],[4,4,4,4,4],[5,5,5,5,5]]])
B = np.array([[1,2,3,4,5],[5,6,7,8,9]])

My solution uses a for loop

for i in range(2):
    print(A[i]*B[i])

Is there any cheaper alternative (no loops)?

Thank you again



source https://stackoverflow.com/questions/73057230/multiplying-lists-of-matrices-without-loops

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